Using EMA and Physiological Data to Explore the Relationship between Day-to-Day Occupational Stress, Musculoskeletal Pain and Mental Health among University Staff: A Study Protocol
Abstract
:1. Introduction
1.1. Exploring Exposure to Day-to-Day Stressors
1.2. Ecological Momentary Assessment
1.3. Continuous Physiological Monitoring
1.4. Previous Research Including Both EMA and Continuous Physiological Monitoring
2. Materials and Methods
2.1. Study Design
2.2. Inclusion Criteria
2.3. Participants
2.4. Recruitment
2.5. Procedure
2.6. Measures
2.6.1. Baseline Questionnaire and Ecological Momentary Assessment
2.6.2. Physiological Measures
2.7. Data Management Plan
2.8. Safety Considerations
2.9. Data Analysis
2.10. Status and Timeline of the Study
3. Discussion
Strengths and Limitations
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Baseline | Morning EMA | Daytime EMA | Evening EMA | |
---|---|---|---|---|
Demographic and employment characteristics | ||||
Gender, age, living and care arrangements, educational attainment, job role, contract type, years in job, work hours, working from home status | ✓ | X | X | X |
Physical activity and work hours | ✓ | X | X | ✓ |
Work environment risk factors | ||||
Physical environment, equipment, occupational health and safety | ✓ | X | X | X |
Quantitative demands | ✓ | ✓ | ✓ | ✓ |
Work pace | ✓ | ✓ | ✓ | ✓ |
Emotional demands | ✓ | X | X | X |
Influence at work | ✓ | X | ✓ | ✓ |
Possibilities for development | ✓ | X | ✓ | ✓ |
Variation of work | ✓ | X | ✓ | ✓ |
Control over work time | ✓ | X | X | X |
Meaning of work | ✓ | X | X | X |
Predictability | ✓ | X | X | X |
Recognition | ✓ | X | X | X |
Role clarity | ✓ | X | X | ✓ |
Role conflict | ✓ | X | X | X |
Illegitimate tasks | ✓ | X | X | ✓ |
Quality of leadership | ✓ | X | X | X |
Support from supervisor | ✓ | X | X | ✓ |
Social support from colleagues, sense of community at work | ✓ | X | X | ✓ |
Organizational justice | ✓ | X | X | X |
Job satisfaction | ✓ | X | X | ✓ |
Work–life balance | ✓ | X | X | ✓ |
Musculoskeletal pain | ||||
Neck/shoulder | ✓ | ✓ | ✓ | ✓ |
Hands, Fingers | ✓ | X | X | X |
Arms | ✓ | X | X | X |
Middle to lower back | ✓ | ✓ | ✓ | ✓ |
Hips, bottom, legs, feet | ✓ | X | X | X |
Mental health | ||||
Stress | ✓ | ✓ | ✓ | ✓ |
Cognitive stress | ✓ | ✓ | ✓ | ✓ |
Stressfulness | X | ✓ | ✓ | ✓ |
Sleep quantity and quality | ✓ | ✓ | X | X |
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Weale, V.; Love, J.; Clays, E.; Oakman, J. Using EMA and Physiological Data to Explore the Relationship between Day-to-Day Occupational Stress, Musculoskeletal Pain and Mental Health among University Staff: A Study Protocol. Int. J. Environ. Res. Public Health 2023, 20, 3526. https://doi.org/10.3390/ijerph20043526
Weale V, Love J, Clays E, Oakman J. Using EMA and Physiological Data to Explore the Relationship between Day-to-Day Occupational Stress, Musculoskeletal Pain and Mental Health among University Staff: A Study Protocol. International Journal of Environmental Research and Public Health. 2023; 20(4):3526. https://doi.org/10.3390/ijerph20043526
Chicago/Turabian StyleWeale, Victoria, Jasmine Love, Els Clays, and Jodi Oakman. 2023. "Using EMA and Physiological Data to Explore the Relationship between Day-to-Day Occupational Stress, Musculoskeletal Pain and Mental Health among University Staff: A Study Protocol" International Journal of Environmental Research and Public Health 20, no. 4: 3526. https://doi.org/10.3390/ijerph20043526